大数据应用的重要目标就是要改变旧的管理模式,提高社会管理和经济生产的整体效益。2019年,大数据应用已进入深度融合发展阶段,大数据政策体系稳定成熟,技术生态丰富多样,行业稳定发展,构成了大数据深度融合应用的基础条件。现阶段,以数据为生产要素的大数据产业有待形成,统一的跨行业的数据标准亟须出台,衡量大数据发展水平的评价体系亟须建立,大数据安全法律法规亟待细化,数据安全技术手段建设需要加强。同时,随着大数据应用与实体经济的深度融合,大数据应用核心技术将贴近社会管理与经济实体业务领域,朝专业化、多样化方向发展,对跨领域、跨行业的复合型人才需求将更加旺盛。
<<The important goal of big data application is to transform the old management mode and improve the overall benefits of social management and economic production. In 2019,the big data application has entered the deep integration development stage. The policy system of big data development was stable and mature while the technological ecology was abundant and diverse,and the industry has developed prosperously as well. All of the above factors provided the basic conditions for the deep integration of big data application. At present,the big data industry with data as the production factor needs to be formed;unified cross-industry data standards and evaluation systems to measure the development level of big data need to be built;the big data security laws and regulations need to be refined;the data security technology needs to be strengthened. Meanwhile,with the deep integration of big data application and entity economy,the core technology of big data application will be close to the field of social management and entity economy. It will develop towards specialization and diversification,and thus the demands for cross-field and cross-professional talents will be more great.
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